Triple

T21651994
Position Surface form Disambiguated ID Type / Status
Subject Ornithorhynchus anatinus E534360 entity
Predicate usesElectroreceptionFor P144869 FINISHED
Object locating prey underwater LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: locating prey underwater | Statement: [Ornithorhynchus anatinus, usesElectroreceptionFor, locating prey underwater]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesElectroreceptionFor
Context triple: [Ornithorhynchus anatinus, usesElectroreceptionFor, locating prey underwater]
  • A. usesEcholocation
    Indicates that an entity employs echolocation, using reflected sound waves to detect, locate, or navigate around objects or other entities.
  • B. hasSensoryOrgans
    Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
  • C. usesCnidaeFor
    Indicates that an entity employs cnidae (stinging or adhesive organelles) as the means or mechanism for acting upon or interacting with another entity.
  • D. usesForPreyCapture
    Indicates that an entity employs another entity as a means or tool for capturing prey.
  • E. hasAquaticAdaptationsIn
    Indicates that an entity possesses physical or behavioral adaptations suited for living or functioning in a specified aquatic environment.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69b4aa2b48190830107391e81571a completed April 20, 2026, 9:31 p.m.
Created at: April 16, 2026, 6:36 p.m.